Artificial Intelligence - Unconventional use cases which will be reality soon.

As our CEO, Dr. Sikka says AI - Pursuit of building
something intelligent is as old as humanity. It has grown leaps and bounds from
the time AI was discussed in 1956.

Since its inception for what determined a machine to be "intelligent" AI has evolved overcoming
challenges during 90's and has entered its golden era.

Increasing investments from Nvidia on GPU and Google in TPU
has made Moore's law more and more relevant in current scenario. Availability
of these powerful processing units have accelerated Deep learning, Automate
Machine learning and artificial neural networks.

Startups have revolutionized AI world and are providing
disruptive solutions to solve complex business problems, these days every
organization is adapting AI in some or other forms, may be as simple as for
customer segmentation, social integration, personalized offers, supply change
or building complex solutions for solving human problems around cancer
treatment, self-driving cars and many more.

Over next couple of years maturity of AI will rapidly
increase and more unconventional use cases will turn into reality for
consumption.

Here is first in series of few such use cases in my view as
Infrastructure, platform and products becomes available to implement.

Emotional AI:

Deep learning is the study of artificial neural networks
related to machine learning algorithm containing more than one hidden layer
similar to human brain. Based on deep learning AI can distinguish between dogs
and cats, good vs criminals but how do you feel when you are treated from a
robot, how does families feel when AI is able to identify depression in
struggling students?

Among lot of other things AI is able to recognize faces, turn
sketches to pictures, identify voice and many more.

Days are not far when Siri or Alexa can detect emotions
based on the sound of your voice and have a conversation, recommend a therapy
session or send an alert to your loved ones to order a bunch of flowers to make
you happy.

As human beings, we understand contexts and empathy. Not
many AI models have it today. Companies that can implement these into their
technology will have more success.

AR Chatbot:

Chatbot is common platform these days and everybody has a
version of right from Microsoft, Facebook, Watson, Google or custom built.

People are probably going to be more drawn into engaging
with chatbots which has personality; it has to be companion to whom people can
engage with.

AI integrated with augmented reality can do wonders. If bots
can be integrated with AI, emotional AI and AR then humans-robot interactions
will take a huge leap forward. Humans often struggle with appropriate responses
due to complexity of emotions, if technologies can decipher this then the
output will be very impressive.